ObjectiveTo evaluate the impact of narrative medicine education on the narrative ability of resident physicians undergoing standardized residency training， and to explore its application value in clinical practice. MethodsA total of 23 obstetricians and gynecologists who participated in residency training at the Fourth Hospital of Hebei Medical University from October 2021 to June 2024 were randomly selected to receive a 3-month residency training program integrated with narrative medicine education， including narrative theory learning， text reading， reflective writing， and scenario-based case analysis. A questionnaire survey was conducted to analyze the personal situation of resident physicians， their narrative ability before and after receiving narrative medicine education， and their satisfaction with teaching. ResultsThe results of the questionnaire survey showed that resident physicians who had received narrative medicine education scored higher on the narrative ability assessment scale than before training， including improved narrative abilities in the dimensions of life and health narrative awareness， professional narrative thinking， professional development narrative behavior， peer communication narrative behavior， and doctor-patient interaction narrative behavior （P<0.05）. However， there were no statistically significant differences in the dimensions of life and health narrative behavior and family connection narrative behavior （P>0.05）. Meanwhile， resident physicians’ interest in active learning， clinical thinking ability， doctor-patient communication ability， and satisfaction with teaching methods have also been improved （P<0.05）. ConclusionNarrative medicine education can effectively enhance the narrative ability of resident physicians and make up for the current deficiencies in humanistic literacy and ethical education in current medical education. It is of great significance for improving doctor-patient relationships and the quality of medical services. Therefore， it is recommended to integrate narrative medicine education into the regular training curriculum for resident physicians.

Signal detection is a critical task in drug safety regulation. However, it inevitably generates irrelevant or false signals, posing challenges for resource allocation by marketing authorization holders. To reasonably assess these signals, different countries have established various principles for prioritizing the evaluation of risk signals. This study systematically compares these principles and finds that the U.S. Food and Drug Administration(FDA) focuses on practical issues, such as identifying drug confusion or drug interactions. However, China's Good Pharmacovigilance Practices and the European Medicines Agency(EMA) emphasize a comprehensive evaluation framework. The Council for International Organizations of Medical Sciences(CIOMS) emphasizes the consistency of multiple data sources, highlighting the reliability of signal evaluation. China practices a multidisciplinary approach combining traditional Chinese and western medicine, and the risk signals related to traditional Chinese medicine(TCM) have unique characteristics, including complex components, cumulative toxicity, specific theoretical foundations, and drug interactions. The different priorities in risk signal evaluation principles across countries suggest that China should strengthen clinical trial research, emphasize corroboration with evidence of multiple sources, and pay particular attention to the risks of drug interactions in the TCM regulatory science. Establishing the risk signal prioritization principles that align with the characteristics of TCM enables more precise and efficient scientific regulation of TCM.
Humans ; Medicine, Chinese Traditional/standards* ; China ; Drugs, Chinese Herbal/adverse effects* ; United States ; United States Food and Drug Administration

ChuanWu (CW), the dried mother root of Aconitum carmichaelii Debx., is a well-known traditional Chinese medicine (TCM) recognized for its potent efficacy but inherent toxicity, primarily due to its alkaloid content. Traditional and modern detoxification methods for CW include proper processing, rational compatibility, and specialized decoction techniques, among which honey-boiled CW is particularly distinctive. However, research on the detoxification mechanism of honey-boiled CW remains limited. This study investigated this mechanism by analyzing alkaloid transformation and supramolecular aggregation. Honey-boiled and water-boiled CW preparations were compared. Ultra-high-performance liquid chromatography-tandem mass spectrometry was used to analyze CW alkaloids, specifically diester alkaloids (DDAs), monoester alkaloids (MDAs), and non-esterified diterpenoid alkaloids (NDAs). Transmission electron microscopy was employed to observe and identify supramolecular aggregates in the honey-boiled CW decoction. In vivo absorption of water-boiled, honey-boiled, and NADES-boiled CW was compared. Median lethal dose (LD₅₀) tests assessed toxicity, including hepatotoxicity and nephrotoxicity. In vitro experiments evaluated the safety, anti-inflammatory, and analgesic effects of CW-medicated serum on RAW264.7 cells, with in vivo validation in mice. Results showed that honey promoted the conversion of highly toxic DDAs to less toxic MDAs and prevented MDAs from hydrolyzing into NDAs. Honey-boiled CW formed approximately 250 nm supramolecular aggregates that encapsulated MDAs, inhibiting their conversion to NDAs. These encapsulated MDAs acted as a stable delivery system with higher bioavailability than free benzoylmesaconine. Subsequent mouse experiments confirmed that honey-boiled CW significantly increased the LD₅₀ of CW while reducing hepatotoxicity and nephrotoxicity. Additionally, honey-boiled CW significantly improved cell safety and enhanced anti-inflammatory and analgesic effects. Our findings reveal that honey-boiled CW exhibits a potent detoxification mechanism by influencing alkaloid transformation and facilitating the formation of supramolecular aggregates. This study lays the groundwork for developing detoxification or synergistic strategies within honey-boiled TCM.

OBJECTIVE: To explore the protective effects and underlying mechanisms of H ₂S against lipid peroxidation-mediated carbonyl stress in the uranium-treated NRK-52E cells. METHODS: Cell viability was evaluated using CCK-8 assay. Apoptosis was measured using flow cytometry. Reagent kits were used to detect carbonyl stress markers malondialdehyde, 4-hydroxynonenal, thiobarbituric acid reactive substances, and protein carbonylation. Aldehyde-protein adduct formation and alcohol dehydrogenase, aldehyde dehydrogenase 2, aldo-keto reductase, nuclear factor E2-related factor 2 (Nrf2), and cystathionine β-synthase (CBS) expression were determined using western blotting or real-time PCR. Sulforaphane (SFP) was used to activate Nrf2. RNA interference was used to inhibit CBS expression. RESULTS: GYY4137 (an H ₂S donor) pretreatment significantly reversed the uranium-induced increase in carbonyl stress markers and aldehyde-protein adducts. GYY4137 effectively restored the uranium-decreased Nrf2 expression, nuclear translocation, and ratio of nuclear to cytoplasmic Nrf2, accompanied by a reversal of the uranium-decreased expression of CBS and aldehyde-metabolizing enzymes. The application of CBS siRNA efficiently abrogated the SFP-enhanced effects on the expression of CBS, Nrf2 activation, nuclear translocation, and ratio of nuclear to cytoplasmic Nrf2 and concomitantly reversed the SFP-enhanced effects of the uranium-induced mRNA expression of aldehyde-metabolizing enzymes. Simultaneously, CBS siRNA reversed the SFP-mediated alleviation of the uranium-induced increase in reactive aldehyde levels, apoptosis rates, and uranium-induced cell viability. CONCLUSION H ₂S induces Nrf2 activation and nuclear translocation, which modulates the expression of aldehyde-metabolizing enzymes and the CBS/H ₂S axis. Simultaneously, the Nrf2-controlled CBS/H ₂S axis may at least partially promote Nrf2 activation and nuclear translocation. These events form a cycle-regulating mode through which H ₂S attenuates the carbonyl stress-mediated NRK-52E cytotoxicity triggered by uranium.
NF-E2-Related Factor 2/genetics* ; Animals ; Hydrogen Sulfide/pharmacology* ; Rats ; Signal Transduction/drug effects* ; Lipid Peroxidation/drug effects* ; Cell Line ; Uranium/toxicity* ; Antioxidant Response Elements ; Kidney/metabolism* ; Oxidative Stress/drug effects* ; Cell Survival/drug effects* ; Apoptosis/drug effects*

Objective To explore the application value of ultrasound combined with elastography in grading inflammation in patients with chronic liver disease at S2 stage of liver fibrosis.Methods Totally 51 patients who were hospitalized at Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from Jan.2022 to Mar.2024 and underwent liver biopsy with pathological results indicating a stage of S2 liver fibrosis in chronic liver disease were enrolled.All patients underwent ultrasound-guided liver biopsy to obtain the stage of pathological liver fibrosis(S1 to S4)and the grade of liver inflammation(G0 to G4).In addition,all the patients were examined by ultrasound combined with elastography;and shear wave velocity(Vs),acoustic attenuation coefficient(ATT),liver fibrosis index(LFI),fibrosis-related index(F index),and inflammatory activity index(A index)were obtained.The correlation between ultrasound combined with elastography parameters and pathological inflammation grading was analyzed.Results According to the pathological inflammation grading,there were 15 cases in group G1,28 cases in group G2,and 8 cases in group G3.There were significant differences in F index,A index,Vs and ATT among the 3 groups(all P＜0.05).Among them,F index,A index and Vs in group G1 were significantly lower than those in group G3(P=0.007,0.006,0.040),while ATT was significantly higher than that in group G3(P=0.005);and there was no significant difference in LFI among the 3 groups(P=0.373).Vs,ATT,F index and A index were correlated with pathological inflammation grade(r=0.404,-0.417,0.379,0.383;P=0.003,0.002,0.006,0.006).The mean plot showed that with the increase of pathological inflammation grade,the age of patients showed a linear upward trend,ATT showed a linear downward trend,and A index showed a linear upward trend.Vs was positively correlated with alanine transaminase(ALT),aspartate transaminase(AST),alkaline phosphatase(ALP),γ-glutamyltransferase(GGT),total bilirubin,and direct bilirubin(DBil)(all P＜0.05).ATT was negatively correlated with ALT,AST,GGT,and DBil(all P＜0.05);and both F index and A index were positively correlated with ALT,AST,ALP,GGT,and DBil(all P＜0.05).Conclusion Ultrasound combined with elastography can be used to evaluate the degree of inflammation in patients with chronic liver disease at S2 stage of liver fibrosis.

Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.

Objective To investigate the expression levels of LINC02009 and LOC107984895 in peripheral lymphocytes of patients with atrial fibrillation and their clinical significance.Methods A total of 75 hospitalized patients with atrial fibrillation(50 with persistent atrial fibrillation and 25 with paroxysmal atrial fibrillation)from Kunming First People's Hospital between January 2023 and December 2023 were selected as study subjects,along with 50 normal control patients.Real-time quantitative PCR was used to detect the expression levels of LINC02009 and LOC107984895 in peripheral blood leukocytes of patients with atrial fibrillation.Logistic regression analysis was employed to assess the relationship between expression levels and risk factors for atrial fibrillation,and ROC curves were used to predict the diagnostic cut-off values for LINC02009 and LOC107984895 in diagnosing atrial fibrillation.Results There were statistically significant differences in baseline diseases such as hypertension and coronary heart disease,biochemical indicators such as Cr and BNP,and myocardial remodeling indicators such as LAd and LVEF between the AF(paroxysmal atrial fibrillation and persistent atrial fibrillation)group and the Normal group(P＜0.05).The expression levels of LINC02009 and LOC 107984895 in the plasma of the atrial fibrillation group were significantly higher than those in the control group(P＜0.05)and were negatively correlated with LVEF(P＜0.05).The areas under the curve(AUC)of LINC02009 and LOC 107984895 in predicting atrial fibrillation were 0.967(95％CI:0.938～0.995)and 0.900(95％CI:0.838～0.963),respectively.The optimal cut-off values were 1.985 and 0.915,with sensitivities of 88％and 76％,respectively,and specificities of 94％and 90％,respectively.Conclusion LINC02009 and LOC 107984895 are independent risk factors for atrial fibrillation and have certain predictive value for the occurrence of atrial fibrillation.

ObjectiveKaroshi, death from overwork, is a serious problem with unclear identification standards and mechanisms. This study aims to establish a karoshi rat model by integrating weight-bearing swimming and sleep deprivation. This model will enable us to investigate the adverse effects of acute physical and mental fatigue on cardiac functions and explore the response mechanisms to overwork using integrated omics approaches, specifically metabonomics and proteomics. MethodsThe experimental design involved healthy male sprague-dawley (SD) rats subjected to weight-bearing swimming and sleep deprivation for 7 d. The rats were monitored for changes in physiological function indexes, including electrocardiogram and respiration. Protein digestion, iTRAQ labeling, and quantitative data analyses were performed to determine differentially expressed proteins (DEPs). Additionally, GC-MS analysis was conducted to identify differential metabolites. The integration analysis of differential metabolites and proteins shared by the fatigue group and the overwork group was performed to construct a relevant metabolic pathway network and integrate the proteomics and metabolomics data. Statistical analysis was carried out using one-way ANOVA and Duncan’s multiple range t-tests. ResultsThe rats subjected to weight-bearing swimming and sleep deprivation showed various physical and behavioral changes associated with fatigue, including hair disorder, decreased muscle tension, reduced food intake, and weight loss. Analysis of cardiac functions revealed cardiac hypertrophy and heart failure in the fatigue and karoshi groups, as evidenced by changes in heart color, myocardial fiber structure, heart rate, respiratory rate, and cardiac ultrasound measurements. Metabolomics analysis using GC-MS identified several differential metabolites in response to overwork, including amino acids involved in various metabolic pathways. Proteomic analysis using iTRAQ technology identified DEPs in the fatigue and karoshi groups, with a subset of DEPs shared by both groups. The GO analysis revealed that the up-regulated DEPs were primarily associated with mitochondria and peroxisomes in the cellular component category. The Reactome analysis further highlighted the enrichment of DEPs in the transfer of ferriheme from methemoglobin to hemopexin pathway. Integration analysis of the DEPs and differential metabolites revealed the activation of autophagy, increased mitochondrial oxidative phosphorylation, enhanced branched-chain amino acid degradation, and altered peroxisomal β-oxidation. These findings suggested complex metabolic adaptations to meet the increased energy demands during overwork while also dealing with oxidative stress. Furthermore, the reprogramming of energy metabolism was observed, with upregulation of fatty acid β-oxidation enzymes and glycolysis-related enzymes in the fatigue group, indicating a shift towards glucose metabolism. In contrast, the karoshi group showed a decreased dependence on fatty acids as an energy source and increased utilization of glucose. The model proposed in this study highlights the interconnected metabolic changes involving mitochondria, peroxisomes, and lysosomes in response to overwork. The findings contribute to our understanding of the mechanisms involved in overwork-related pathologies and provide a basis for further research in the field of karoshi. ConclusionOverall, metabolic reprogramming might provide sufficient energy to the heart, alleviate oxidative stress and damage to cardiac cells in response to excessive exertion and fatigue. Our findings provide an insight into response mechanism to overwork death and lay a foundation for further research on overwork death.

This study searched the clinical researches on traditional Chinese medicine （TCM） for cardiovascular diseases registered in Chinese Clinical Trial Registry and the US Clinical Trial Registry， the cardiovascular disease-related studies funded by the National Natural Science Foundation of China， as well as those published in China National Knowledge Infrastructure （CNKI）， Wanfang database， VIP.com， China Biology Medicine disc （CBMdisc）， Embase， Medline， Cochrane Library， and other databases published cardiovascular disease-related studies from 1 January 2021 to 30 June 2023. In order to analyse and evaluate the research progress of TCM treatment for coronary heart disease， hypertension， heart failure， and arrhythmia， this study aimed at recent research hotspots and research direction. It is found that the research on TCM for cardiovascular diseases was gradually deepening and the high-quality evidence continued to emerge. It is believed that studies related to the prevention and treatment of common cardiovascular diseases by TCM reflected the multi-angle integration of modern technology and pattern differentiation and treatment， closer integration of clinical and basic research， and further optimisation of pattern identification and interventions. On this basis， the research programme and implementation process should be further standardized， and the translation of research results should be emphasized to promote the standardized application and promotion of TCM diagnosis and treatment of cardiovascular diseases.